AiDA – Artificial Intelligence Distributed Analysis – for the Transportation sector

Year: 2021/2022

Country: Italy

Clients: MERMEC for Regione Toscana

Background: video analytics is an emerging field leveraging computer vision and machine learning to analyze video feeds and automatically extract useful information. Pervasive monitoring of all areas of the vehicle or station is impracticable by human operators

Challenge: design, development and prototype testing of an automatic, comprehensive and accurate analytic system, allowing operators to quickly detect potential safety or security issues and take appropriate action

Execution: thanks to machine learning and artificial vision techniques, the system is capable of combining the output of a set of parallel processing, all running onboard in real-time, thus allowing the separation of the information collected from actual passengers’ identities

Results: a GDPR-compliant, pervasive vision architecture for improved safety and security monitoring in the context of public transport (e.g., unattended bags or suspicious behaviors)